Double-Shock Compression Pathways from Diamond to BC8 Carbon

钻石 压缩(物理) 碳纤维 休克(循环) 材料科学 医学 复合数 内科学 复合材料
作者
Jiuyang Shi,Zhixing Liang,Junjie Wang,Shuning Pan,Chi Ding,Yong Wang,Hui‐Tian Wang,D. Y. Xing,Jian Sun
出处
期刊:Physical Review Letters [American Physical Society]
卷期号:131 (14) 被引量:5
标识
DOI:10.1103/physrevlett.131.146101
摘要

Carbon is one of the most important elements for both industrial applications and fundamental research, including life, physics, chemistry, materials, and even planetary science. Although theoretical predictions on the transition from diamond to the BC8 (Ia3[over ¯]) carbon were made more than thirty years ago, after tremendous experimental efforts, direct evidence for the existence of BC8 carbon is still lacking. In this study, a machine learning potential was developed for high-pressure carbon fitted from first-principles calculations, which exhibited great capabilities in modeling the melting and Hugoniot line. Using the molecular dynamics based on this machine learning potential, we designed a thermodynamic pathway that is achievable for the double shock compression experiment to obtain the elusive BC8 carbon. Diamond was compressed up to 584 GPa after the first shock at 20.5 km/s. Subsequently, in the second shock compression at 24.8 or 25.0 km/s, diamond was compressed to a supercooled liquid and then solidified to BC8 in around 1 ns. Furthermore, the critical nucleus size and nucleation rate of BC8 were calculated, which are crucial for nano-second x-ray diffraction measurements to observe BC8 carbon during shock compressions. The key to obtaining BC8 carbon lies in the formation of liquid at a sufficient supercooling. Our work provides a feasible pathway by which the long-sought BC8 phase of carbon can be reached in experiments.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
TingWan完成签到,获得积分10
1秒前
1秒前
科研通AI2S应助右右采纳,获得10
2秒前
llll完成签到,获得积分20
2秒前
科研通AI2S应助嘻嘻嘻采纳,获得10
2秒前
3秒前
Metakuro发布了新的文献求助10
4秒前
4秒前
revew666完成签到,获得积分10
5秒前
5秒前
蛋黄派完成签到,获得积分10
5秒前
5秒前
waynechang完成签到,获得积分10
6秒前
直率绮梅完成签到,获得积分10
6秒前
6秒前
斯文败类应助飞快的万声采纳,获得10
6秒前
自觉誉完成签到,获得积分20
7秒前
Kumquat完成签到,获得积分10
7秒前
星辰大海应助整齐芷文采纳,获得10
7秒前
7秒前
Lucas应助AnnChen采纳,获得10
7秒前
一一应助mmol采纳,获得10
8秒前
陌然浅笑完成签到,获得积分20
9秒前
ding应助俊逸的水蓝采纳,获得10
9秒前
奈奈647发布了新的文献求助10
9秒前
bb完成签到,获得积分20
10秒前
卡卡完成签到,获得积分10
10秒前
10秒前
李爱国应助风中的怜阳采纳,获得10
11秒前
llll发布了新的文献求助30
12秒前
林云夕完成签到,获得积分10
12秒前
卡卡发布了新的文献求助10
13秒前
直率绮梅发布了新的文献求助10
14秒前
冲塔亚德发布了新的文献求助10
14秒前
天天快乐应助dayou采纳,获得10
15秒前
飘逸雨珍发布了新的文献求助10
15秒前
Owen应助66采纳,获得10
15秒前
秋中雨完成签到,获得积分10
15秒前
顾矜应助白羊采纳,获得10
16秒前
奇拉维特完成签到 ,获得积分10
16秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3135300
求助须知:如何正确求助?哪些是违规求助? 2786282
关于积分的说明 7776733
捐赠科研通 2442250
什么是DOI,文献DOI怎么找? 1298501
科研通“疑难数据库(出版商)”最低求助积分说明 625124
版权声明 600847